Adam Paterson / AI Systems Engineer

Practical AI systems that teams can understand, ship, and operate.

I design agent workflows, commerce platforms, and technical strategies for teams that need clarity as much as capability.

AI workflow designCommerce architectureTechnical discoveryDelivery leadership
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Practice Areas

Practical AI and commerce architecture, without theatre.

I help teams move from loose technical ambition to systems they can explain, operate, and improve. The work sits where product judgement, software architecture, and AI capability meet.

01 Available

Agentic Workflow Design

Practical agent systems that can be inspected, measured, and connected to real operational processes.

  • Task decomposition
  • Human-in-the-loop review
  • Traceable execution
02 Available

Commerce Architecture

Scalable e-commerce platforms with clear integration boundaries and delivery paths.

  • Shopify, Adobe Commerce, BigCommerce
  • Headless and composable builds
  • Discovery to launch
03 Available

Engineering Enablement

Technical leadership that turns ambiguous business problems into maintainable systems.

  • Solution design
  • Code review and mentoring
  • Build and deployment hygiene

Operating Model

Systems thinking, kept close to delivery.

P01

Start with the workflow, not the model

P02

Make system behavior observable

P03

Prefer boring infrastructure until the problem proves otherwise

P04

Explain trade-offs in language teams can act on

Technology

A stack chosen for maintainability, not novelty.

The common thread is pragmatic delivery: typed interfaces, proven commerce platforms, cloud foundations, and AI tools that make workflows more useful.

AI and ML

LLM applications, evaluation loops, and model-assisted workflows.

Python
PyTorch
TensorFlow
OpenAI
AutoGen
Frontend

Typed interfaces, content-led pages, and design-system implementation.

JavaScript
TypeScript
React
Vue.js
Next.js
TailwindCSS
Backend

Commerce platforms, APIs, persistence, and integration layers.

PHP
Node.js
Laravel
Symfony
Ruby
Zend
MySQL
PostgreSQL
MongoDB
Redis
Infrastructure

Cloud deployments, containerisation, and repeatable platform foundations.

AWS
Google Cloud
Docker
Kubernetes
Terraform
E-commerce

Discovery, implementation, and optimisation across established platforms.

Shopify
Adobe Commerce
BigCommerce

Profile

Fifteen years turning ambiguous digital problems into working platforms.

My background is enterprise commerce, technical discovery, and full-stack delivery. The current focus is applying AI where it improves real workflows: research, operations, engineering support, and customer-facing systems that need strong guardrails.

15+
Years Experience
100+
Projects Delivered
6+
Commerce Platforms
20+
Industries Served

Career Ledger

Selected delivery record.

Entry 012022 - Present
IDHL

Technical Solutions Engineer

IDHL

Leading technical solutions for enterprise e-commerce clients, specializing in Adobe Commerce, Shopify, and modern headless architectures. Exploring AI integration opportunities for enhanced e-commerce experiences.

  • Architected and delivered enterprise-scale e-commerce solutions
  • Led technical discovery and solution design for major clients
  • Established modern development practices and CI/CD pipelines
  • Mentored development teams on best practices and emerging technologies

Contact

Need a clearer path through an AI or commerce system?

Send the problem, the constraints, and what is at stake. I will help turn it into a practical technical route.

Get in Touch